A Mixed Genetic Algorithm of Improve Local Search Ability

There are some limitations that using genetic algorithms. This paper presents the Mixed Genetic Algorithm(MGA). Based on the phase of genetic, the colonies are differentiated to two different colonies-adaptive population and competing population. The correlated operator, propagate gene, is brought forward. The local search ability of the genetic algorithm is enhenced by using the simplex algorithm of operational research. The emulation experiment data shows the optimizing convergence reliability and higher converging velocity.